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A QST‐based Pain Phenotype in Adults With Sickle Cell Disease: Sensitivity and Specificity of Quality Descriptors
Author(s) -
Dyal Brenda W.,
Ezenwa Miriam O.,
Yoon Saunjoo L.,
Fillingim Roger B.,
Yao Yingwei,
Schlaeger Judith M.,
Suarez Marie L.,
Wang Zaijie J.,
Molokie Robert E.,
Wilkie Diana J.
Publication year - 2020
Publication title -
pain practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.899
H-Index - 58
eISSN - 1533-2500
pISSN - 1530-7085
DOI - 10.1111/papr.12841
Subject(s) - logistic regression , lasso (programming language) , medicine , physical therapy , world wide web , computer science
Background We sought to refine a screening measure for discriminating a sensitized or normal sensation pain phenotype among African American adults with sickle cell disease (SCD). Objective To develop scoring schemes based on sensory pain quality descriptors; evaluate their performance on classifying patients with SCD who had sensitization or normal sensation, and compare with scores on the Self‐report Leeds Assessment of Neuropathic Symptoms and Signs (S‐LANSS) and the Neuropathic Pain Symptom Inventory (NPSI). Methods Participants completed PAIN Report It, quantitative sensory testing (QST), S‐LANSS, and NPSI. Conventional binary logistic regression and least absolute shrinkage and selection operator (lasso) regression were used to obtain 2 sets of weights resulting in 2 scores: the PR‐Logistic (PAIN Report It score weighted by conventional binary logistic regression coefficients) and PR‐Lasso (PAIN Report It score weighted by lasso regression coefficients). Performance of the proposed scores and the existing scores were evaluated. Results Lasso regression resulted in a parsimonious model with non‐zero weights assigned to 2 neuropathic descriptors, cold and spreading. We found positive correlations between the PR‐Lasso and other scores: S‐LANSS ( r = 0.22, P < 0.01), NPSI ( r = 0.22, P < 0.01), and PR‐Logistic ( r = 0.35, P < 0.01). The NPSI and PR‐Lasso performed similarly at different levels of required specificity and outperformed the S‐LANSS and PR‐Logistic at the various specificity points. Conclusion The PR‐Lasso offers a way to discriminate a SCD pain phenotype.